Molecular characterization of organellar rhomboid proteins in<i>Arabidopsis</i>
Bibliographic record
Abstract
The list of cellular processes involving rhomboid serine proteases and regulated intramembrane proteolysis (RIP) is growing, diverse, and spans different species. The latest entrants to the RIP phenomenon are the plant rhomboid proteases. Although natural rhomboid protease substrates and their corresponding processes have been identified from insects to mammals, the current knowledge on plant rhomboid proteases is limited. This study was thus aimed at revealing further details about the roles of three Arabidopsis organellar rhomboid proteases and like proteins. Globally, the patterns revealed at the transcript level suggest that the three Arabidopsis rhomboid proteins under study are linked partly to growth and development. Further evidence for a linkage to growth and development was obtained for the organellar rhomboid protein, At1g74130. This link was most evident during the early growth phases of the various tissues assessed, e.g., At1g74130 expression was greater in young, expanding leaves than in mature leaves. This expression pattern appears to correlate with the responses of the Arabidopsis At1g74130 mutant, where there were observable delays in germination and growth. These delays appear to be associated with the early stages of plastid development and can be observed as changes at the cellular level and at the level of chlorophyll content. The data reported here suggest that organellar rhomboid proteins, in particular At1g74130, may take part in growth and development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".